diff --git a/dist/processors.worklet.js b/dist/processors.worklet.js
index 7bcc331..1c0b78c 100644
--- a/dist/processors.worklet.js
+++ b/dist/processors.worklet.js
@@ -1 +1 @@
-!function(e){var r={};function t(o){if(r[o])return r[o].exports;var s=r[o]={i:o,l:!1,exports:{}};return e[o].call(s.exports,s,s.exports,t),s.l=!0,s.exports}t.m=e,t.c=r,t.d=function(e,r,o){t.o(e,r)||Object.defineProperty(e,r,{enumerable:!0,get:o})},t.r=function(e){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},t.t=function(e,r){if(1&r&&(e=t(e)),8&r)return e;if(4&r&&"object"==typeof e&&e&&e.__esModule)return e;var o=Object.create(null);if(t.r(o),Object.defineProperty(o,"default",{enumerable:!0,value:e}),2&r&&"string"!=typeof e)for(var s in e)t.d(o,s,function(r){return e[r]}.bind(null,s));return o},t.n=function(e){var r=e&&e.__esModule?function(){return e.default}:function(){return e};return t.d(r,"a",r),r},t.o=function(e,r){return Object.prototype.hasOwnProperty.call(e,r)},t.p="",t(t.s=0)}([function(e,r){const t=Symbol();class o extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)o[e].set(t[e]);return!0}}registerProcessor("noop",o);class s extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++){for(let r=0;r<t[0].length;r++)o[0][r]+=t[e][r]*(1/t.length);0!==e&&o[e].set(o[0])}return!0}}registerProcessor("mono",s);class n extends AudioWorkletProcessor{constructor(e){super(),this[t]=new Float32Array(e.processorOptions.maxChannels)}process(e,r){const o=e[0],s=r[0];for(let e=0;e<o.length;e++){s[e][0]=this[t][e];for(let r=1;r<o[e].length;r++)s[e][r]=o[e][r]-o[e][r-1];this[t][e]=o[e][o.length-1]}return!0}}registerProcessor("derivative",n);class l extends AudioWorkletProcessor{constructor(e){super(),this[t]=new Float32Array(e.processorOptions.maxChannels)}process(e,r){const o=e[0],s=r[0];for(let e=0;e<o.length;e++){s[e][0]=(this[t][e]+o[e][0])/2;for(let r=1;r<o[e].length;r++)s[e][r]=(o[e][r-1]+o[e][r])/2;this[t][e]=o[e][o.length-1]}return!0}}registerProcessor("integral",l);class c extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r+=8){let s=0;for(let o=0;o<8;o++)s+=t[e][r+o];const n=s/8;for(let t=0;t<8;t++)o[e][r+t]=n}return!0}}registerProcessor("bit-crusher-sr8",c);class u extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r++)o[e][r]=Math.round(16*t[e][r])/16;return!0}}registerProcessor("bit-crusher-res",u);class i extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r+=8){let s=0;for(let o=0;o<8;o++)s+=Math.round(16*t[e][r])/16;const n=s/8;for(let t=0;t<8;t++)o[e][r+t]=n}return!0}}registerProcessor("bit-crusher-both",i);class f extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++){for(let r=0;r<t[e].length;r++)o[0][r]+=(e%2==0?1:-1)*t[e][r];0!==e&&o[e].set(o[0])}return!0}}registerProcessor("subtract-overlap",f);class a extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r++)o[0][r]+=(e%2==0?1:-1)*t[e][r];for(let e=t.length-1;0<=e;e--)for(let r=0;r<t[e].length;r++)o[e][r]=t[e][r]-o[0][r];return!0}}registerProcessor("isolate-overlap",a)}]);
\ No newline at end of file
+!function(e){var r={};function t(o){if(r[o])return r[o].exports;var s=r[o]={i:o,l:!1,exports:{}};return e[o].call(s.exports,s,s.exports,t),s.l=!0,s.exports}t.m=e,t.c=r,t.d=function(e,r,o){t.o(e,r)||Object.defineProperty(e,r,{enumerable:!0,get:o})},t.r=function(e){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},t.t=function(e,r){if(1&r&&(e=t(e)),8&r)return e;if(4&r&&"object"==typeof e&&e&&e.__esModule)return e;var o=Object.create(null);if(t.r(o),Object.defineProperty(o,"default",{enumerable:!0,value:e}),2&r&&"string"!=typeof e)for(var s in e)t.d(o,s,function(r){return e[r]}.bind(null,s));return o},t.n=function(e){var r=e&&e.__esModule?function(){return e.default}:function(){return e};return t.d(r,"a",r),r},t.o=function(e,r){return Object.prototype.hasOwnProperty.call(e,r)},t.p="",t(t.s=0)}([function(e,r){const t=Symbol();class o extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)o[e].set(t[e]);return!0}}registerProcessor("noop",o);class s extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];o[0].set(t[0]);for(let e=1;e<t.length;e++)for(let r=0;r<t[0].length;r++)o[0][r]+=t[e][r]*(1/t.length);for(let e=1;e<o.length;e++)o[e].set(o[0]);return!0}}registerProcessor("mono",s);class n extends AudioWorkletProcessor{constructor(e){super(),this[t]=new Float32Array(e.processorOptions.maxChannels)}process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++){o[e][0]=o[e][o[e].length-1];for(let r=1;r<t[e].length;r++)o[e][r]=t[e][r]-t[e][r-1]}return!0}}registerProcessor("derivative",n);class l extends AudioWorkletProcessor{constructor(e){super(),this[t]=new Float32Array(e.processorOptions.maxChannels)}process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++){o[e][0]=o[e][o[e].length-1];for(let r=1;r<t[e].length;r++)o[e][r]=(t[e][r-1]+t[e][r])/2}return!0}}registerProcessor("integral",l);class c extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r+=8){let s=0;for(let o=0;o<8;o++)s+=t[e][r+o];const n=s/8;for(let t=0;t<8;t++)o[e][r+t]=n}return!0}}registerProcessor("bit-crusher-sr8",c);class u extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r++)o[e][r]=Math.round(16*t[e][r])/16;return!0}}registerProcessor("bit-crusher-res",u);class i extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];for(let e=0;e<t.length;e++)for(let r=0;r<t[e].length;r+=8){let s=0;for(let o=0;o<8;o++)s+=Math.round(16*t[e][r])/16;const n=s/8;for(let t=0;t<8;t++)o[e][r+t]=n}return!0}}registerProcessor("bit-crusher-both",i);class f extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];o[0].set(t[0]);for(let e=1;e<t.length;e++)for(let r=0;r<t[e].length;r++)o[0][r]+=t[e][r]*(e%2==0?1:-1);for(let e=1;e<o.length;e++)o[e].set(o[0]);return!0}}registerProcessor("subtract-overlap",f);class a extends AudioWorkletProcessor{process(e,r){const t=e[0],o=r[0];o[0].set(t[0]);for(let e=1;e<t.length;e++)for(let r=0;r<t[e].length;r++)o[0][r]+=(e%2==0?1:-1)*t[e][r];for(let e=t.length-1;0<=e;e--)for(let r=0;r<t[e].length;r++)o[e][r]=t[e][r]-o[0][r];return!0}}registerProcessor("isolate-overlap",a);class g extends AudioWorkletProcessor{process(e,r){for(let e=0;e<r.length;e++)for(let t=0;e<r.length;e++)for(let o=0;e<r.length;e++)r[e][t][o]=0;return!0}}registerProcessor("zeroes",g)}]);
\ No newline at end of file
diff --git a/index.html b/index.html
index 070e938..e00613e 100644
--- a/index.html
+++ b/index.html
@@ -93,6 +93,10 @@
                 padding: 1em;
                 z-index: 1;
             }
+            .warn {
+                border: 2px solid red;
+                padding: 0 1em;
+            }
             .spacer {
                 /* height: 90vh; */
                 height: 1000px;
@@ -123,6 +127,13 @@
     <body>
         <canvas></canvas>
         <div class="container">
+            <div class="warn">
+                <p>
+                    There’s currently a bug in Chrome that causes the <code>subtract-overlap</code> filter to glitch and scream.
+                    Refrain from using it, it’ll hurt your years X(
+                </p>
+                <p>(This glitch doesn’t occur in Firefox, so maybe try that instead :) )</p>
+            </div>
             <p>
                 Drag and drop an audio file anywhere or <button id="choose">choose one from your filesystem.</button>
             </p>
@@ -139,6 +150,7 @@
                     <option value="bit-crusher-res">bit-crusher-res (bit-depth reduction)</option>
                     <option value="bit-crusher-both">bit-crusher-both</option>
                     <option value="mono">mono</option>
+                    <option value="zeroes">zeroes</option>
                 </select>
             </label>
             <label>
@@ -197,6 +209,10 @@
                         Converts the audio to mono by taking the arithmetic average of the samples of each channel.
                     </p>
                 </li>
+                <li>
+                    <code>zeroes</code>
+                    <p>Outputs no sound.</p>
+                </li>
             </ul>
 
             <p class="credits">
diff --git a/src/processors.worklet.js b/src/processors.worklet.js
index 4703720..0fe46d5 100644
--- a/src/processors.worklet.js
+++ b/src/processors.worklet.js
@@ -29,15 +29,16 @@ class Mono extends AudioWorkletProcessor {
         const input = inputs[0]
         const output = outputs[0]
 
-        for (let channel = 0; channel < input.length; channel++) {
+        output[0].set(input[0])
+        for (let channel = 1; channel < input.length; channel++) {
             for (let sample = 0; sample < input[0].length; sample++) {
                 // Mono: (L + R) / 2
                 // More generally: 1/n * (\sum_{i = 0}^n C_i)
                 output[0][sample] += input[channel][sample] * (1 / input.length)
             }
-            if (channel !== 0) {
-                output[channel].set(output[0])
-            }
+        }
+        for (let channel = 1; channel < output.length; channel++) {
+            output[channel].set(output[0])
         }
 
         return true
@@ -60,12 +61,12 @@ class DerivativeProcessor extends AudioWorkletProcessor {
         const output = outputs[0]
 
         for (let channel = 0; channel < input.length; channel++) {
-            output[channel][0] = this[carry][channel]
+            // Carry
+            output[channel][0] = output[channel][output[channel].length - 1]
             for (let sample = 1; sample < input[channel].length; sample++) {
                 // dy/dx: (s2 - s1) / time
                 output[channel][sample] = input[channel][sample] - input[channel][sample - 1]
             }
-            this[carry][channel] = input[channel][input.length - 1]
         }
 
         return true
@@ -89,12 +90,12 @@ class IntegralProcessor extends AudioWorkletProcessor {
         const output = outputs[0]
 
         for (let channel = 0; channel < input.length; channel++) {
-            output[channel][0] = (this[carry][channel] + input[channel][0]) / 2
+            // Carry
+            output[channel][0] = output[channel][output[channel].length - 1]
             for (let sample = 1; sample < input[channel].length; sample++) {
                 // Integral of two samples: (time * (s1 + s2)) / 2
                 output[channel][sample] = (input[channel][sample - 1] + input[channel][sample]) / 2
             }
-            this[carry][channel] = input[channel][input.length - 1]
         }
 
         return true
@@ -210,14 +211,20 @@ class SubtractOverlap extends AudioWorkletProcessor {
         const input = inputs[0]
         const output = outputs[0]
 
-        for (let channel = 0; channel < input.length; channel++) {
+        // OK, I think i figured out the problem.
+        // I can't assume that the output samples are zeroed out,
+        // they probably still have the previous chunk's samples.
+        output[0].set(input[0])
+
+        for (let channel = 1; channel < input.length; channel++) {
             for (let sample = 0; sample < input[channel].length; sample++) {
-                output[0][sample] += (channel % 2 === 0 ? 1 : -1) * input[channel][sample]
-            }
-            if (channel !== 0) {
-                output[channel].set(output[0])
+                output[0][sample] += input[channel][sample] * (channel % 2 === 0 ? 1 : -1)
             }
         }
+        for (let channel = 1; channel < output.length; channel++) {
+            output[channel].set(output[0])
+        }
+
 
         return true
     }
@@ -239,8 +246,9 @@ class IsolateOverlap extends AudioWorkletProcessor {
         const output = outputs[0]
 
         // FIXME: I can't get this filter to work :/
+        output[0].set(input[0])
 
-        for (let channel = 0; channel < input.length; channel++) {
+        for (let channel = 1; channel < input.length; channel++) {
             for (let sample = 0; sample < input[channel].length; sample++) {
                 output[0][sample] += (channel % 2 === 0 ? 1 : -1) * input[channel][sample]
             }
@@ -257,3 +265,26 @@ class IsolateOverlap extends AudioWorkletProcessor {
     }
 }
 registerProcessor('isolate-overlap', IsolateOverlap)
+
+
+/**
+ * Plays nothing. Chrome fucks this up for some reason.
+ */
+class Zeroes extends AudioWorkletProcessor {
+    /**
+     * @param {Float32Array[][]} inputs
+     * @param {Float32Array[][]} outputs
+     */
+    process(inputs, outputs) {
+        for (let i = 0; i < outputs.length; i++) {
+            for (let j = 0; i < outputs.length; i++) {
+                for (let k = 0; i < outputs.length; i++) {
+                    outputs[i][j][k] = 0
+                }
+            }
+        }
+
+        return true
+    }
+}
+registerProcessor('zeroes', Zeroes)